2DduplexingPCA(2D2PCA)

CDMA2000下行链路仿真模块的matlab实现代码(CDMA2000 downlink simulation module)

说明：  此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)

基于MATLAB和声卡的信号发生器。产生正弦波。适用与初学者。界面友好(Based on MATLAB and sound card signal generator. Generated sine wave. Application and beginners. Friendly interface)

矢量控制系统中的PARK变换，CLARKE变换以及他们的反变换(PARK transformation vector control system, CLARKE transform and inverse transform)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

说明：  最优化理论 认知无线电 功率控制方面的资料，写得很详细。( Probability-based optimization of inter-sensing duration and power control in cognitive radio )

Computes Greenwich mean sidereal time from Julian Date

关于UWB的英文资料，能详细很全面很好！(English information on UWB can be very comprehensive and very detailed!)

用于提取心音包络的程序，编译运行较好，有界面显示。(Used to extract the heart sound envelope program, compile and run better, there are screen displays.)

介绍LIBSVM的函数，主要是FRUTO的改进版本的LIBSVM(introduce libsvm function)